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Amphoe Mueang Nonthaburi

City in Nonthaburi, Thailand

Overview

Amphoe Mueang Nonthaburi is the lively core of Nonthaburi Province, just north of Bangkok. The city blends modern infrastructure, local markets, temples, and riverfront areas, offering an authentic suburban Thai experience with easy access to the capital.

Geographic Context

Jurisdiction
Thailand
Province
Nonthaburi
Population
—
Time Zone
Asia/Bangkok
Coordinates
13.86°, 100.49°

Key Metrics

Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
60
Traffic Safety
50
Food Safety
78
Monthly Cost · estimate
$773
Local Cost
$340
Local Income
$525
Cashless
60
English
42
Temperature
27.9°C
Summer Avg
27.9°C
Winter Avg
26.6°C
Record High
43.0°C
Record Low
10.2°C
Humidity
74%
Precipitation
1361 mm
Internet Speed
323 Mbps
Upload
266 Mbps
Latency
4 ms
City Vibrancy
15
Coworking
0
Cafes
8
Nightlife
2
Parks
5
Transport
3
Walk Score
3
Footways
6.0
Airport
DMK
Distance
14 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 116 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.

Estimates and unverified origins

Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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